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plot_themes.R
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plot_themes.R
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## plot_themes.R | unikn
## spds | uni.kn | 2022 11 29
## ---------------------------
## Defining default themes for plotting.
## (A) Themes for base R plotting: -------
## ToDo.
## (B) ggplot2 themes: -------
## Check if ggplot2 is available:
# if (!require(ggplot2)) {
#
# install.packages('ggplot2') # installs ggplot2
# library('ggplot2') # loads ggplot2
#
# }
## Check if ggplot2 is loaded:
# if ("ggplot2" %in% (.packages())){
#
# message("Package 'ggplot2' is loaded.")
#
# } # if ("ggplot2" %in% (.packages())) end.
# theme_unikn: Default theme for ggplot2: ------
# - Documentation: ----
#' Basic unikn theme (for ggplot2)
#'
#' \code{theme_unikn} provides a basic \bold{unikn} theme
#' to use in \bold{ggplot2} commands.
#'
#' The theme is lightweight and no-nonsense, but somewhat
#' opinionated (e.g., in using mostly grey scales to
#' allow emphasizing data points with color accents).
#'
#' @param col_title Color of title (text) elements (optional, numeric).
#' Default: \code{col_title = pal_seeblau[[4]]}.
#' Consider using \code{col_title = "black"} when data uses
#' \code{Seeblau} colors.
#'
#' @param base_size Base font size (optional, numeric).
#' Default: \code{base_size = 11}.
#'
#' @param base_family Base font family (optional, character).
#' Default: \code{base_family = ""}.
#' Options include \code{"mono"}, \code{"sans"} (default), and "serif".
#'
#' @param base_line_size Base line size (optional, numeric).
#' Default: \code{base_line_size = base_size/22}.
#'
#' @param base_rect_size Base rectangle size (optional, numeric).
#' Default: \code{base_rect_size = base_size/22}.
#'
#' @examples
#'
#' \donttest{
#' # Plotting iris dataset (using ggplot2, theme_unikn, and unikn colors):
#'
#' library('ggplot2') # theme_unikn requires ggplot2
#'
#' ggplot(datasets::iris) +
#' geom_jitter(aes(x = Petal.Length, y = Petal.Width, color = Species), size = 3, alpha = 2/3) +
#' scale_color_manual(values = usecol(pal = c(Pinky, Seeblau, Seegruen))) +
#' labs(tag = "A", title = "Iris petals",
#' caption = "Data from datasets::iris") +
#' theme_unikn()
#' }
#'
#' @family plot functions
#'
#' @seealso
#' \code{\link{theme_grau}} for an alternative theme.
#'
#' @import ggplot2
#'
#' @export
# - Definition: ----
theme_unikn <- function(col_title = pal_seeblau[[4]], # "black"
base_size = 11,
base_family = "",
base_line_size = base_size/22,
base_rect_size = base_size/22
) {ggplot2::theme_bw(base_size = base_size,
base_family = base_family,
base_line_size = base_line_size,
base_rect_size = base_rect_size) %+replace%
ggplot2::theme(#
# titles:
title = ggplot2::element_text(color = col_title, face = "bold",
margin = ggplot2::margin(t = 10, r = 4, b = 4, l = 4, unit = "pt")),
plot.subtitle = ggplot2::element_text(color = grey(.10, 1), face = "plain", hjust = 0,
margin = ggplot2::margin(t = 2, r = 4, b = 8, l = 4, unit = "pt")),
plot.caption = ggplot2::element_text(color = grey(.20, 1), face = "plain", size = ggplot2::rel(.80), hjust = 1),
# axes:
axis.line = ggplot2::element_line(color = "black", size = ggplot2::rel(1)),
axis.ticks = ggplot2::element_line(color = "black", size = ggplot2::rel(.90)),
axis.title = ggplot2::element_text(color = grey(.10, 1)),
axis.text = ggplot2::element_text(color = grey(.20, 1), size = ggplot2::rel(.90)),
# legend:
legend.title = ggplot2::element_text(color = grey(.10, 1)),
legend.text = ggplot2::element_text(color = grey(.20, 1), size = ggplot2::rel(.90)),
legend.background = ggplot2::element_blank(),
legend.key = ggplot2::element_blank(),
# strip:
# strip.background = ggplot2::element_rect(fill = pal_seeblau[[1]], color = pal_seeblau[[5]], size = ggplot2::rel(5/3)),
strip.background = ggplot2::element_rect(fill = grey(.95, 1), color = grey(.05, 1), # light grey strip background
size = ggplot2::rel(.90)),
strip.text = ggplot2::element_text(color = grey(0, 1), size = ggplot2::rel(1.0),
margin = ggplot2::margin(t = 4, r = 4, b = 4, l = 4, unit = "pt")),
# panel:
# panel.border = ggplot2::element_blank(),
panel.border = ggplot2::element_rect(fill = "transparent", color = grey(.05, 1),
linetype = "solid", size = ggplot2::rel(.80)),
# panel.grid = ggplot2::element_blank(),
panel.grid.major = ggplot2::element_line(color = grey(.75, 1), linetype = "solid", size = ggplot2::rel(.50)),
# panel.grid.minor = ggplot2::element_line(color = grey(.75, 1), linetype = "solid", size = ggplot2::rel(.40)), # "dotted"
panel.grid.minor = ggplot2::element_blank(),
panel.background = ggplot2::element_rect(fill = grey(1, 1), color = NA), # "white" panel background
# background:
plot.background = ggplot2::element_rect(fill = "transparent", color = NA),
complete = TRUE)
} # theme_unikn().
# theme_grau: Alternative theme for ggplot2: ------
# - Documentation: ----
#' Alternative theme (for ggplot2)
#'
#' \code{theme_grau} provides an alternative \bold{unikn} theme
#' to use in \bold{ggplot2} commands.
#'
#' \code{theme_grau} is no-nonsense, but fills
#' panel backgrounds in "grau" (specifically, pal_seeggrau[[1]]).
#'
#' This theme works well for dark colors and bright color accents,
#' but is of limited use with transparent colors.
#'
#' @param col_title Color of title (text) elements (optional, numeric).
#' Default: \code{col_title = grey(0, 1)} (i.e., "black").
#' Consider using \code{col_title = unikn::pal_seeblau[[4]]}.
#'
#' @param base_size Base font size (optional, numeric).
#' Default: \code{base_size = 11}.
#'
#' @param base_family Base font family (optional, character).
#' Default: \code{base_family = ""}.
#' Options include \code{"mono"}, \code{"sans"} (default), and "serif".
#'
#' @param base_line_size Base line size (optional, numeric).
#' Default: \code{base_line_size = base_size/22}.
#'
#' @param base_rect_size Base rectangle size (optional, numeric).
#' Default: \code{base_rect_size = base_size/22}.
#'
#' @examples
#'
#' \donttest{
#' # Plotting iris dataset (using ggplot2, theme_grau, and unikn colors):
#'
#' library('ggplot2') # theme_unikn requires ggplot2
#'
#' ggplot(datasets::iris) +
#' geom_jitter(aes(x = Sepal.Length, y = Sepal.Width, color = Species), size = 3, alpha = 2/3) +
#' facet_wrap(~Species) +
#' scale_color_manual(values = usecol(pal = c(Pinky, Seeblau, Seegruen))) +
#' labs(tag = "B",
#' title = "Iris sepals",
#' caption = "Data from datasets::iris") +
#' coord_fixed(ratio = 3/2) +
#' theme_grau()
#'
#' }
#'
#' @family plot functions
#'
#' @seealso
#' \code{\link{theme_unikn}} for default theme.
#'
#' @import ggplot2
#'
#' @export
# - Definition: ----
theme_grau <- function(col_title = grey(0, 1), # OR: "black"
base_size = 11,
base_family = "",
base_line_size = base_size/22,
base_rect_size = base_size/22
) {ggplot2::theme_bw(base_size = base_size,
base_family = base_family,
base_line_size = base_line_size,
base_rect_size = base_rect_size) %+replace%
ggplot2::theme(#
# titles:
title = ggplot2::element_text(color = col_title, face = "bold",
margin = ggplot2::margin(t = 10, r = 4, b = 4, l = 4, unit = "pt")),
plot.subtitle = ggplot2::element_text(color = grey(.10, 1), face = "plain", hjust = 0,
margin = ggplot2::margin(t = 2, r = 4, b = 8, l = 4, unit = "pt")),
plot.caption = ggplot2::element_text(color = grey(.20, 1), face = "plain", size = ggplot2::rel(.80), hjust = 1),
# axes:
axis.line = ggplot2::element_line(color = "black", size = ggplot2::rel(1)),
axis.ticks = ggplot2::element_line(color = "black", size = ggplot2::rel(.90)),
axis.title = ggplot2::element_text(color = grey(.10, 1)),
axis.text = ggplot2::element_text(color = grey(.20, 1), size = ggplot2::rel(.90)),
# legend:
legend.title = ggplot2::element_text(color = pal_grau[[5]]),
legend.text = ggplot2::element_text(color = grey(0, 1), size = ggplot2::rel(.90)),
legend.background = ggplot2::element_blank(),
legend.key = ggplot2::element_blank(),
# strip:
# strip.background = ggplot2::element_blank(),
# strip.background = ggplot2::element_rect(fill = pal_seeblau[[1]], color = pal_seeblau[[5]], size = ggplot2::rel(5/3)),
# strip.background = ggplot2::element_rect(fill = grey(.90, 1), color = grey(.90, 1), size = ggplot2::rel(6/3)),
strip.background = ggplot2::element_rect(fill = "transparent", color = NA, size = ggplot2::rel(1.0)), # transparent strip
strip.text = ggplot2::element_text(color = grey(0, 1), size = ggplot2::rel(1.0),
margin = ggplot2::margin(t = 5, r = 5, b = 5, l = 5, unit = "pt")), # larger than in theme_unikn()
# panel:
panel.border = ggplot2::element_blank(),
# panel.border = ggplot2::element_rect(fill = "transparent", color = grey(.10, 1), linetype = "solid", size = ggplot2::rel(2/3)),
# panel.background = ggplot2::element_blank(),
panel.background = ggplot2::element_rect(fill = pal_grau[[1]], color = pal_grau[[1]]), # light "grau" panel background
# panel.grid = ggplot2::element_blank(),
panel.grid.major = ggplot2::element_line(color = grey(1, 1), linetype = "solid", size = ggplot2::rel(.90)), # "white" lines
panel.grid.minor = ggplot2::element_blank(),
# panel.grid.minor = ggplot2::element_line(color = grey(.95, 1), linetype = "solid", size = ggplot2::rel(2/3)),
# background:
plot.background = ggplot2::element_rect(fill = "transparent", color = NA),
complete = TRUE)
} # theme_grau().
## ToDo: ------
# - ...
## eof. ----------